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Using the rough RD cost value calculated by HEVC Rough Mode Decision as a selection threshold, we propose a fast Bi-Partition modes selection algorithm to speed up the encoding process.
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A sophisticated mode selection algorithm decides whether to employ the temporal or the spatial part, or a combination thereof, to estimate a missing macroblock; the selection does not rely on knowledge of the original coding modes.
Ren et al. [11] proposed a fast adaptive early termination (FAT) mode selection algorithm.
Doppler et al. in [29] propose mode selection algorithm for D2D communications underlaying cellular network.
Peng et al. [8] presented a hybrid fast macroblock mode selection algorithm for MVC.
We propose a hybrid fast macroblock mode selection algorithm after analyzing the full-search algorithm of JMVM.
Chen et al. [31] proposed a candidate mode selection algorithm that adds kernel density estimation to the histogram calculation.
Kim and chin [9] propose a MAC-layer sensing framework and energy-efficient dynamic sensing mode selection algorithm.
Simulation results show that the proposed mode selection algorithm performs better than the antenna grouping and the beamforming modes in various channel conditions.
We only consider beamforming and antenna grouping as the two possible modes in the mode selection algorithm to limit the feedback information and the complexity.
A distributed mode selection algorithm switching between TDMA and SDMA was proposed in [24], where each user feeds back its preferred mode and the channel quality information.
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